AI Risk Management and Governance for Custodians

LEADING RESPONSIBLE AI ADOPTION IN BANKING

AI Risk Management and Governance for Custodians

MAS proposed AI Risk Management Guidelines (Nov 2025) place explicit, non-delegable accountability on the board, senior management, and AI governance committees — even for AI procured from vendors or cloud providers.

Source: MAS Consultation Paper on AI Risk Management, 2025; MAS Project MindForge Operationalisation Handbook, 2026

AI sits at the intersection of data science, business units, and IT — creating ownership ambiguity that traditional governance models were not built to resolve. MindForge’s response: formalised accountability at board, senior-management, and AI-governance-committee level.

Source: MAS Project MindForge Toolkit, 2026

Generative AI and Agentic AI are reshaping how financial institutions operate, and the professionals who govern, oversee, and enable these technologies are under growing pressure to act with both speed and rigour. As AI adoption accelerates, custodians across the second and third lines of defence must balance innovation with accountability, ensuring their organisations meet rising regulatory expectations without stifling business value.

This programme is designed for professionals in oversight, governance, enablement, and risk management roles, including those in compliance, legal, technology, talent, and internal audit — who are responsible for applying AI governance policies, managing AI risks, and enabling responsible adoption across their institutions.

Participants will be introduced to the FEAT principles and the MindForge AI Risk Management and Governance Framework, applying these to real-world GenAI and Agentic AI scenarios. Through practical case studies and interactive exercises, they will develop the skills to identify and assess AI risks, design governance frameworks, implement safeguards for data and systems, and engage stakeholders to support compliant, transparent, and value-driven AI adoption.

Format

Hybrid

Duration

1.5 days

Programme Start Date

TBC

Programme Fees

$1553.25 (incl. GST)

Who is this programme for?

This programme is ideal for:

    • Compliance, legal, and governance professionals responsible for applying AI policies and ensuring ethical AI use

    • Risk and internal audit professionals in the second and third lines of defence overseeing GenAI and Agentic AI adoption

This programme is also relevant for:

    • Senior managers and team leads accountable for compliant and risk-aware AI adoption within their functions

Programme Learning Outcomes

ethical-ai

Illustrate the fundamentals of AI risks and Ethical AI frameworks in the context of financial services governance

leadership

Adopt organisational-level risk management frameworks to incorporate AI-specific risks and controls

detection

Examine the role of custodians in identifying, escalating, and managing AI-specific risks within their areas of accountability

forecasting

Assess how GenAI and Agentic AI impact key risk areas, including model risk, unexplainable outputs, cyber and third-party risk, ethical use, and regulatory compliance

blockchain

Apply the FEAT principles and MindForge AI Risk Management and Governance Framework to real-world GenAI and Agentic AI scenarios

Design

Design governance safeguards and control frameworks to ensure responsible, transparent, and compliant AI adoption

Programme Details

* The curriculum is subject to changes to reflect the evolving advancements in AI and the needs of financial services industry.

Programme Director

Yeo Lay Geok photo - AIDF

Yeo Lay Geok  LinkedIn

Founder, LG&D
Adjunct Lecturer, Asian Institute of Digital Finance

Yeo Lay Geok is a seasoned practitioner in data governance, regulatory technology, and financial supervision, with senior roles spanning the Monetary Authority of Singapore (MAS), KPMG Singapore, and Toronto Centre (Canada).

At MAS, she served as Deputy Director within the Data Analytics Group and Supervisory Departments, overseeing supervisory practices and data-related regulatory compliance across banks, payment systems, and payment services. She subsequently joined KPMG as Director of Data Strategy in the Financial Services Advisory Group, guiding institutions on data governance and regulatory initiatives.

As Programme Director at Toronto Centre, she delivered flagship training programmes — including the Certified Financial Supervisor Designation — and led regional capacity-building engagements with financial regulators across the Indo-Pacific and Sub-Saharan Africa.

A certified ScrumMaster®, licensed Neuro-Linguistic Programming® practitioner, and certified facilitator of the LEGO® SERIOUS PLAY® method, Lay Geok brings both technical rigour and facilitative depth to her teaching. She also mentors students at Nanyang Technological University's business school, where she supports the next generation of finance professionals.

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